title: Comparison of correlation analysis and JointICA for simultaneous EEG-fMRI recordings on contour integration task.
abstract: Multimodal approaches to brain imaging are getting increasingly popular among the neuroscience comunity. One such multimodal approach is the combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). In this paper we demonstrate two EEG-fMRI integration methods for contour integration task. First, we derrive the contour-selectivity measures from event related potential (ERP) and fMRI data, and explore the correlation between the two. In this way, we connect the spatial information from fMRI with the temporal information from ERPs. Thereafter, the results from this approach are compare to JointICA integration approach [5], [6], which aims at extracting spatio-temporal independent components, which are the combination of ERP and fMRI activations.
authors.forename: Bogdan
authors.initials: B
authors.lastname: Mijovic
authors.forename: Bart
authors.initials: B
authors.lastname: Machilsen
authors.forename: Borbala
authors.initials: B
authors.lastname: Hunyadi
authors.forename: Maarten
authors.initials: M
authors.lastname: De Vos
authors.forename: Johan
authors.initials: J
authors.lastname: Wagemans
authors.forename: Sabine
authors.initials: S
authors.lastname: Van Huffel
mesh_terms: D000328:Adult; D000465:Algorithms; D001921:Brain / Q000503:physiopathology; D001931:Brain Mapping; D003072:Cognition Disorders; D004569:Electroencephalography; D005071:Evoked Potentials; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D055815:Young Adult